> For the complete documentation index, see [llms.txt](https://supervised.gitbook.io/supervised-ai-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://supervised.gitbook.io/supervised-ai-documentation/features/ai-apps-vs-models.md).

# AI Apps vs Models

At Supervised, so far, you were able to build AI apps on some pre-defined models : 

<figure><img src="/files/56nt56fL0geoFBnzSYMU" alt=""><figcaption></figcaption></figure>

You had the option to choose between GPT-4, GPT-3, Davinci 003 and Davinci 002. However, these are the foundational models of GPT that are very generalized in solving specific doubts.&#x20;

So, in the most layman sense, you can tell that a model is the foundation of any AI engine and the AI app is a tailored alteration of the model that works on a prompt defined by the makers.&#x20;

<figure><img src="/files/yVtAuQayRiURjmJuBOjT" alt=""><figcaption></figcaption></figure>

Now, it might be clear to you that models (that are now available in Supervised 2.0), are basically a way to take more control your over AI apps, and tailor them around your own data set to make it unique and reliable.&#x20;


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